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Data Science Jobs in Jackson, MS (NOW HIRING)

... Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

DATA ANALYST

Jackson, MS · On-site

$55/hr

Data Analyst Location : Jackson, Mississippi - Fully Onsite Only Locals $55/hr on W2 Client : State of Mississippi USC/GC/H4 EAD Please do not Apply outside Mississippi - it will rejected We dont ...

... Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team ...

... Science, Network Engineering), or experience in professional or military IT-related roles - Experience in a data center or other critical environment - Experience training and onboarding of new team ...

Data Engineer

Jackson, MS · On-site

$99K - $119K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

... science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate risk and protect the air, water and soil that sustain communities, while uncovering ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

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Data Science information

See Jackson, MS salary details

$32.7K

$107K

$171.2K

How much do data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science in Jackson, MS is $106,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $118,500.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Jackson, MS? The most popular types of Data Science jobs in Jackson, MS are:
What are popular job titles related to Data Science jobs in Jackson, MS? For Data Science jobs in Jackson, MS, the most frequently searched job titles are:
What cities near Jackson, MS are hiring for Data Science jobs? Cities near Jackson, MS with the most Data Science job openings:
Infographic showing various Data Science job openings in Jackson, MS as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,957 per year, or $51.4 per hour.
Clinical Data Reviewer - Oncology Required (US, CAN Only)

Clinical Data Reviewer - Oncology Required (US, CAN Only)

Syneos Health/ inVentiv Health Commercial LLC

Jackson, MS • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Syneos Health rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

32nd of 74 rated pharmaceutical


Job description

Clinical Data Reviewer - Oncology Required (US, CAN Only)

Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
* We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
* We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life.
* We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

**Industry experience with Oncology is required

**Candidates must reside in US, or Canada with no sponsorship needs.

The Clinical Reviewer (CR) is a specialized role that performs clinical review, typically ahead of significant project milestones (interim analysis, study closeout, submission etc.). The studies supported by the CR are often, but not exclusively, comparative safety and efficacy (Phase 3) trials with large, multi-faceted data sets. The review tasks performed by this role include both point-to-point clinical review checks and interpretive analysis such as reviewing data for submission, highlighting errors, raising queries etc. from a clinical perspective. The CR will work as an extension of the clinician/clinical scientist and will be responsible for the clinical review of one or more studies with the ability to move easily from project to project as necessary.

This requires that the CR be knowledgeable about the therapeutic area under investigation, expected effects of the investigational drug and concomitant medications, and possess sufficient clinical knowledge to assess if data is scientifically and clinically valid.

ROLE RESPONSIBILITIES

  • Ensure data readiness for important milestones including, but not limited to, interim analysis, final analysis, snapshots to support submissions, Data Monitoring Committee reviews and publications
  • Review participant level data across a study in adherence with CRF Completion guidelines (CCGs) and the Data Review Plan (DRP)
  • Conduct point-to-point data checks (e.g. verifying the presence of a lab test that satisfies study inclusion criteria) and interpretive analysis (e.g. reviewing to identify inconsistencies in the participant's data).
  • Generate queries on discrepant data and follow to resolution including escalation of issues that cannot be resolved through the query process
  • Create and use data review best practices and associated data review tools to identify trends and any safety signals
  • May identify protocol deviations during routine clinical review and escalation as appropriate
  • Follow relevant SOPs and regulations, have an excellent understanding of and comply with applicable training requirements, constantly seeking further improvements in quality and efficiency of clinical procedures
  • May liaise with data management, clinical and site management along with other members of the study team
  • Attend Clinical Meetings and Study Me

    QUALIFICATIONS

  • Bachelor's degree or nursing degree is preferred.
  • At least 7 years of clinical research experience in the pharmaceutical industry (Strong monitoring experience is a plus)
  • 3+ years experience of oncology experience.
  • Direct clinical review and query writing/resolution experience required
  • Possess sufficient clinical knowledge to assess if participant data is scientifically and clinically valid.
  • Prior EDC experience preferred
  • Proficient in reviewing large scale listings in Microsoft Excel format(filter, sort, data format (date).
  • Basic understanding of how data points from different fields/CRFs interact and how data collection impacts analysis
  • Ability to work independently in a virtual setting and as part of a remote team
  • Ability to prioritize and adjust work priorities quickly as needed to meet deadlines (i.e. fluid, flexible work style)
  • Possess basic knowledge of data management including case report form design, workings of electronic edit checks, implementation of data handling conventions and interpretation of data status reports
  • Good written and oral communication skills with strong attention to detail required meetings, as necessary

At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.

Salary Range:

$80,600.00 - $145,000.00

The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role.

Get to know Syneos Health


Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information


Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.


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